Bangda Sun

Practice makes perfect

Categories

Anomaly Detection Computational Advertising Data Science Deep Learning Elasticsearch Kaggle Machine Learning Mathematics NLP R Recommender Sys Software Development Statistics
Anomaly Detection

Deep Learning for Anomaly Detection

Time Series Precision Recall

Computational Advertising

Estimating CTR for New Ads in Search Advertising

Practical Experiences for Ad Click Prediction

A Simple Framework for Predicting CTR in Display Advertising

Data Science

AB Testing (Udacity) Learning Notes (3)

AB Testing (Udacity) Learning Notes (2)

AB Testing (Udacity) Learning Notes (1)

Deep Learning

Denoising Autoencoder - A Robust Feature Extractor

Machine Learning Overview Series (7) - LSTM and GRU

Deep Learning Basis & Cheatsheet

Elasticsearch

Blog Analysis based on Elasticsearch

Kaggle

Kaggle Milestone - Expert

First Journey through Kaggle

Machine Learning

Machine Learning Overview Series (8) - Kmeans

DeepFM - Combining FM and Neural Nets

FFM - More Elaborated and Refined Factorization Machines

Factorization Machine - A General Predictor for Sparse Data

L1 Norm Regularization Explained

Practical Comparison of XGBoost and LightGBM

LightGBM - A more Efficient GBM Framework

XGBoost - How it works

NBSVM - A Strong Classification Baseline

Stanford NLP (coursera) Notes (8) - Max Entropy Model

Stanford NLP (coursera) Notes (6) - Text Classification and Naive Bayes

Bias and Variance Trade-Off

Machine Learning Overview Series (6) - Support Vector Machines

Machine Learning Overview Series (5) - Bagging and Random Forests

Machine Learning Overview Series (4) - Classification Tree

Machine Learning Overview Series (3) - Regression Tree

Machine Learning Overview Series (2) - Linear Regression

Machine Learning Overview Series (1) - Logistic Regression

Practical Application of Metrics in Binary Classifications

Common Metrics in Binary Classification Problems

Mathematics

Probability Review (2)

Probability Review (1)

Linear Algebra Review

Multivariate Transformation

NLP

Summary on Attention in NLP

FastText - Learning Sub-word Embeddings

GloVe - Word Embeddings Utilizing Global statistics

The Beauty of Mathematics in Computer Science Notes

Stanfold NLP (Coursera) Notes (20) - Text Summarization

Stanford NLP (Coursera) Notes (19) - Question Answering

Stanford NLP (Coursera) Notes (18) - Word Meaning and Similarity

Stanford NLP (Coursera) Notes (17) - Introduction to Ranked Retrieval

Stanford NLP (Coursera) Notes (16) - Introduction to Information Retrieval

Stanford NLP (Coursera) Notes (15) - Dependency Parsing

Stanford NLP (Coursera) Notes (14) - Lexicalized Parsing

Stanford NLP (Coursera) Notes (13) - Probabilistic Parsing

Stanford NLP (Coursera) Notes (12) - Parsing Introduction

Stanford NLP (coursera) Notes (11) - POS Tagging

Efficient Way to Train Word Embeddings

Models to Learn Word Representation

Neural Network on Language Model

Stanford NLP (coursera) Notes (10) - Relation Extraction

Stanford NLP (coursera) Notes (9) - Information Extraction and NER

Stanford NLP (coursera) Notes (7) - Sentiment Analysis

Stanford NLP (coursera) Notes (5) - Spell Correction

Stanford NLP (coursera) Notes (4) - Language Model

Stanford NLP (coursera) Notes (3) - Edit Distance

Stanford NLP (coursera) Notes (2) - Text Processing

Stanford NLP (coursera) Notes (1) - Introduction

R

Assignment operator in R

Data Visualization with ggplot2 (1)

Recommender Sys

Recommender Systems Overview - From A Survey

Wide and Deep Learning for Recommender Systems

Matrix Factorization for Recommender Systems

Software Development

Bash and Git Quick Reference

Statistics

Simulation Sampling Algorithms

Statistical Inference Review

Time Series Models Overview (2) - State Space Model and Kalman Filter

Time Series Models Overview (1) - ARIMA